# Copyright 2022 Cerebras Systems.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import sys

from modelzoo.vision.pytorch.dit.input.DiffusionLatentImageNet1KProcessor import (  # noqa
    DiffusionLatentImageNet1KProcessor,
)


def train_input_dataloader(params):
    data_obj = getattr(
        sys.modules[__name__], params["train_input"]["data_processor"]
    )(params["train_input"])
    dataset = data_obj.create_dataset(
        use_training_transforms=True, split=params["train_input"]["split"]
    )
    dataloader = data_obj.create_dataloader(dataset, is_training=True)
    return dataloader


def eval_input_dataloader(params):
    data_obj = getattr(
        sys.modules[__name__], params["eval_input"]["data_processor"]
    )(params["eval_input"])
    dataset = data_obj.create_dataset(
        use_training_transforms=False, split=params["eval_input"]["split"]
    )
    dataloader = data_obj.create_dataloader(dataset, is_training=False)
    return dataloader
